NLDA non-linear regression model for preserving data privacy in wireless sensor networks

作     者：A.L.Sreenivasulu P.Chenna Reddy A.L.Sreenivasulu;P.Chenna Reddy

作者机构：Dept.of CSEJNTU AnantapurAndhra PradeshIndia 

出 版 物：《Digital Communications and Networks》 (数字通信与网络（英文版）)

年 卷 期：2020年第6卷第1期

页      面：101-107页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0839[工学-网络空间安全] 080202[工学-机械电子工程] 08[工学] 0835[工学-软件工程] 0802[工学-机械工程] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Sensor nodes Data accuracy Wireless sensor networks Data aggregation Privacy preserving 

摘      要：Recently,the application of Wireless Sensor Networks(WSNs)has been increasing *** requires privacy preserving data aggregation protocols to secure the data from *** privacy of the sensor data is a challenging *** paper presents a non-linear regression-based data aggregation protocol for preserving privacy of the sensor *** proposed protocol uses non-linear regression functions to represent the sensor data collected from the sensor *** of sending the complete data to the cluster head,the sensor nodes only send the coefficients of the non-linear *** will reduce the communication overhead of the *** data aggregation is performed on the masked coefficients and the sink node is able to retrieve the approximated results over the aggregated *** analysis of experiment results shows that the proposed protocol is able to minimize communication overhead,enhance data aggregation accuracy,and preserve data privacy.